Generative large language model (LLM) applications are growing rapidly, leading to large-
scale deployments of expensive and power-hungry GPUs. Our characterization of LLM …

Cloud services have recently started undergoing a major shift from monolithic applications,
to graphs of hundreds or thousands of loosely-coupled microservices. Microservices …

Cloud applications are increasingly shifting from large monolithic services, to large numbers
of loosely-coupled, specialized microservices. Despite their advantages in terms of …

User-facing services are now evolving towards the microservice architecture where a
service is built by connecting multiple microservice stages. Since the entire service is heavy …

The growing popularity of microservices has led to the proliferation of online cloud service-
based applications, which are typically modelled as Directed Acyclic Graphs (DAGs) …

The microservice architecture has dramatically reduced user effort in adopting and
maintaining servers by providing a catalog of functions as services that can be used as …

Datacenters are witnessing a rapid surge in the adoption of serverless functions for
microservices-based applications. A vast majority of these microservices typically span less …

Deep neural networks (DNNs) have been widely adopted for various mobile inference tasks,
yet their ever-increasing computational demands are hindering their deployment on …

The growing popularity of the serverless platform has seen an increase in the number and
variety of applications (apps) being deployed on it. The majority of these apps process user …

Deploying microservice instances on the edge device close to end users can provide on-site
processing thus reducing request response time. Each microservice has multiple instances …